Pinned Repositories
BERT_BiLSTM_CRF_NER
Named Entity Recognition for Chinese Drug Instructions
ChineseEntityLink
EXAQT
Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
EXAQTV2
Updated EXAQT code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
EXPLAIGNN
Code for our SIGIR 2023 paper. EXPLAIGNN provides a pipeline for conversational question answering (ConvQA) over heterogeneous sources, and code for iterative graph neural networks (GNNs). Such iterative GNNs can help to causally explaignn GNN outputs.
FAITH
FAITH code and data for our WWW'24 paper "Faithful Temporal Qestion Answering over Heterogeneous Sources"
knowledge-to-db-dashboard
A GUI interface to convert Urban Knowledge into Database SQL, SQLAlchemy classes, and a FastAPI demo server.
RDUKG
MKG deployment and usage for our work "Medical Knowledge Graph to Promote Rational Drug Use: Model Development and Performance Evaluation"
TEQUILA
Code for our CIKM'18 paper "TEQUILA: Temporal Question Answering over Knowledge Bases"
TIQ
TIQ code and data for our WWW'24 paper "Faithful Temporal Qestion Answering over Heterogeneous Sources"
zhenjia2017's Repositories
zhenjia2017/EXAQT
Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
zhenjia2017/FAITH
FAITH code and data for our WWW'24 paper "Faithful Temporal Qestion Answering over Heterogeneous Sources"
zhenjia2017/TEQUILA
Code for our CIKM'18 paper "TEQUILA: Temporal Question Answering over Knowledge Bases"
zhenjia2017/TIQ
TIQ code and data for our WWW'24 paper "Faithful Temporal Qestion Answering over Heterogeneous Sources"
zhenjia2017/EXAQTV2
Updated EXAQT code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
zhenjia2017/ChineseEntityLink
zhenjia2017/RDUKG
MKG deployment and usage for our work "Medical Knowledge Graph to Promote Rational Drug Use: Model Development and Performance Evaluation"
zhenjia2017/BERT_BiLSTM_CRF_NER
Named Entity Recognition for Chinese Drug Instructions
zhenjia2017/EXPLAIGNN
Code for our SIGIR 2023 paper. EXPLAIGNN provides a pipeline for conversational question answering (ConvQA) over heterogeneous sources, and code for iterative graph neural networks (GNNs). Such iterative GNNs can help to causally explaignn GNN outputs.
zhenjia2017/knowledge-to-db-dashboard
A GUI interface to convert Urban Knowledge into Database SQL, SQLAlchemy classes, and a FastAPI demo server.
zhenjia2017/RAILWAY-KGQA
Code for Railway Transportation KGQA project
zhenjia2017/zhenjia2017.github.io
Code of homepage